Suppose you have the following collection of SPAM and HAM emails We'll assume that the probability of particular words appearing in a message are independent given the category. How would a Bayesian Spam Filter classify the following emails if we assume that we classify a message as SPAM if p(SPAM | message) > p(HAM | message) and classify the message as HAM otherwise. (a) message = {home, money} (b) message = {nigeria, bank}